Introduction

The intended audience for this article is anyone interested in PyTorch, Facebook's deep learning framework. The questions and answers are sourced from StackOverflow - a famous Q&A site for software engineering.

Helpful PyTorch Q&A on Stack Overflow

Question: How do you get the model summary in PyTorch?

The first question we curate here is important because it raises a simple yet not quite obvious feature of PyTorch. The resulting answer shows the simplicity of PyTorch and how easy it is to get detailed information on a model.

This is actually a really great question and answer that get into the nitty gritty of the programming around PyTorch and the computational execution framework. Sometimes that's abstracted around the simplicity of the framework. I recommend clicking on the link and checking out this full answer with more detailed examples that couldn't fit into a screenshot.

Through a lot of examples on the PyTorch website there are many calls to this view() function. It tripped me upped the first time as a long time numpy user. Only to find out that view() is pretty much the equivalent of np.reshape().

We've all been in the situation where we try running a model and it should be really fast on the expensive GPU you just bought, but it's actually running really slow. This answer solves that issue by re-assuring that PyTorch is taking advantage of the GPU.

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